{"id":"W2980272132","doi":"10.1002/em.22338","title":"Mutation as a Toxicological Endpoint for Regulatory Decision‐Making","year":2019,"lang":"en","type":"article","venue":"Environmental and Molecular Mutagenesis","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Mutagen; Germline mutation; Mutation; Somatic cell; Point mutation; Biology; Risk assessment; Genetics; Computational biology; Toxicology; Carcinogen; Bioinformatics; Gene; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001249867,0.0001630621,0.0001396159,0.00003288364,0.00008304304,0.00002393167,0.00008500811,0.0001349994,0.0001588775],"category_scores_gemma":[0.00001344779,0.0001565882,0.000134338,0.00002148914,0.00005544254,0.000004164566,0.0001474736,0.0000384172,0.00003803157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003210657,"about_ca_system_score_gemma":0.00001740083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001517432,"about_ca_topic_score_gemma":0.00000201299,"domain_scores_codex":[0.9989865,0.00003176084,0.0001648231,0.0004537251,0.0001564917,0.0002067377],"domain_scores_gemma":[0.9995973,0.00001879065,0.0000557065,0.0002458583,0.000005786448,0.00007661112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001619414,0.00007158642,0.001529661,0.00001192429,0.00004398427,0.00001422378,0.0000268662,0.0001475743,0.9840751,0.0001416878,0.00006430908,0.01371113],"study_design_scores_gemma":[0.001306856,0.001171313,0.09047441,0.00001514339,0.00006407725,0.000106537,0.000325863,0.0002459138,0.8874772,0.0006885129,0.01766358,0.0004606205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989406,0.000871205,0.008815496,0.00004910906,0.00008919354,0.0005294955,0.00004083039,0.000008385681,0.0001902991],"genre_scores_gemma":[0.9945793,0.00007851506,0.003919547,0.000861372,0.00004688119,0.00007412587,0.0001317035,0.00002509731,0.0002834958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09659793,"threshold_uncertainty_score":0.6385481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003895711030650943,"score_gpt":0.2341814464044724,"score_spread":0.2302857353738214,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}